This Power BI dashboard delivers a comprehensive analysis of customer churn and portfolio risk within a retail banking environment. This solution showcases how business intelligence tools can be leveraged to identify at-risk customer segments, assess financial exposure, and support data-driven retention strategies.
It is designed for banking professionals and analytics stakeholders, this interactive dashboard provides actionable insights to enhance customer lifecycle management and protect revenue.
With increasing employee turnover, declining performance, and salary disparities at NextGen Corporation, I used SQL to analyzed and identified key workforce challenges and provided actionable recommendations to strengthen employee retention and drive organizational growth.
St. Martha's Hospital, a leading multi-specialty institution, faced challenges in analyzing its massive patient, doctor, and treatment data stored in a single flat Excel file. Reports were slow, difficult to maintain, and limited in insight.
Using Power BI, I redesigned their entire data structure into a relational model, enabling powerful, flexible, and real-time analytics.
NovaMed Solutions, a leading pharmaceutical distributor, faced growing challenges in monitoring sales performance, optimizing inventory, and identifying market opportunities. With vast amounts of sales data, including revenue, profit margins, product performance, and customer demographics, decision-making had become slow and fragmented.
To solve this, I developed a Power BI Sales Performance and Customer Insights Dashboard that transformed their raw data into an interactive, intelligent system for sales tracking, customer segmentation, and performance optimization.
This project provided the management team with a clear, real-time view of business performance, enabling proactive decision-making and operational efficiency.
Aurora Threads is a luxury fashion boutique known for its exclusive designer collections and personalized shopping experience. With multiple branches across different cities, the boutique was struggling to transform its growing sales and customer data into meaningful insights.
Some of the key challenges include limited visibility into sales performance across product categories and locations, difficulty identifying emerging fashion trends and customer purchasing behaviors, and the absence of advanced analytics tools for real-time performance tracking and strategic decision-making.
To overcome these challenges, I designed an interactive Power BI dashboard powered by DAX and M language, providing the boutique with clear, data-driven insights for smarter operations and improved business performance.
By leveraging Power BI, DAX, and M language, I turned Aurora Threads’ disconnected sales and customer data into a unified, insight-rich analytics system. The result was a powerful dashboard that not only tracks performance but also unlocks growth opportunities, thereby helping the boutique stay ahead in the competitive fashion retail industry.
